Triple
T27195528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire Mall (Lanesborough, Massachusetts) |
E683586
|
entity |
| Predicate | primaryTradeArea |
P127310
|
FINISHED |
| Object | Berkshire County, Massachusetts |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Berkshire County, Massachusetts | Statement: [Berkshire Mall (Lanesborough, Massachusetts), primaryTradeArea, Berkshire County, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTradeArea Context triple: [Berkshire Mall (Lanesborough, Massachusetts), primaryTradeArea, Berkshire County, Massachusetts]
-
A.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
B.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
C.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
D.
isPrimaryCommercialAreaOf
chosen
Indicates that one area serves as the main center of commercial activity for another specified place or region.
-
E.
primarySurveyArea
Indicates that a specified area is the main or principal region targeted or covered by a particular survey or data collection activity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: April 27, 2026, 9:34 a.m.